Turning Complex Quoting into Controlled, Repeatable Systems
custom CPQ
for complex product configs
temporal
workflow Integration
Spiral
framework
Services
Industries
Technologies
The Challenge: Manual Workflows Were the Bottleneck
Alaska Rubber Group needed a CPQ workflow system that could operate reliably in production, not just in demos. Their quoting process depended on spreadsheets, email threads, and senior sales engineers, making it slow, inconsistent, and difficult to scale as volume increased.
What Success Looked Like for ARG
- Quotations that anyone on the sales team can generate without relying on tribal knowledge
- A system that enforces pricing and product rules consistently
- Elimination of manual approvals and repetitive work
- A reliable data foundation for future automation and agent-based enhancements
The Challenge: A CPQ Workflow System, Not Just a Tool
Solutions
Manual quoting
Sales reps spent hours manually configuring quotes. Rules lived in email, spreadsheets and experienced sales reps’ heads.
Coordinated workflows
We decomposed quoting into decision stages. A rules engine and AI Agents now handle configuration logic and humans intervene only when needed. It became a reliable system where decisions and data flows were explicit, consistent, and traceable.
Lack of automation
Process bottlenecks due to manual routing and approvals.
Temporal Workflow enforcement
Temporal workflows automated stages, enforced rules, and reduced intervention. ARG’s quote-to-sale cycle accelerated overnight.
Disjointed data
Pricing and product data lived in disparate channels, causing misalignment.
Single source of truth
A unified governance approach ensured consistent rules, eliminating discrepancies and downstream errors.
How We Made CPQ Real for ARG
The result was a production-ready CPQ workflow system that made quoting predictable, auditable, and repeatable across the sales organization.
Product Discovery and Prototyping
We started by mapping ARG’s decision logic and product rules, not screens or UI. This made sure we built a system around workflow truth, not UI assumptions.
Milestone-Based Development for Transparency
We structured development in iterative 2 week milestones so ARG leadership could see system behavior evolve, not just visuals or promises.
An Experienced Team
This project builds on Spiral Scout’s broader work designing agent-assisted workflows and production-ready AI systems for complex operations.
What Changed for ARG
What once took days of back-and-forth now happens in minutes. Quote generation at ARG shifted from an ad hoc, manual process into a reliable and measurable system that behaves consistently every time it’s used. Configurations and approvals follow the same logic on every quote, which made outcomes predictable and easy to review instead of dependent on who happened to be involved.
Just as importantly, quoting knowledge is no longer locked inside a handful of senior engineers. Junior team members can now generate accurate quotes with confidence because expertise has been codified into the workflow itself. Sales teams spend far less time on routine setup and corrections, and more time focusing on edge cases, customer conversations, and closing deals.
KEY IMPACT METRICS
- Reduced quote generation time by 88% so sales teams can focus on deals instead of data wrangling.
- Improved quote reliability by eliminating human error and inconsistent pricing logic.
- Decisions now transparent and reviewable so leadership can trust quoting outcomes.
- Self-service quoting empowered customers and internal teams without increasing risk.
CPQ is a system allowing clients to define complex product dependencies and assemblies in a form of simple user experience. It is an engine built to simplify the complex product building and quotation process.
Anton “JD” Titov
CTO of Spiral Scout
OVERALL SCORE
What made this custom CPQ workflow system impactful?
5.0
SCHEDULING
On Time / Deadline
5.0
QUALITY
Service & Deliverables
5.0
COST
Value / Within Estimates
5.0
NPS
Willing to Refer
